MUMBAI, India, Oct. 26 -- Intellectual Property India has published a patent application (202611111767 A) filed by Ims Engineering College, Ghaziabad on September 17, 2026, for A Computer-Implemented Method For Artificial Intelligence-Based Resume Screening And Evidence- Bound Candidate Ranking.
Inventors include Prof. Dr. Anil K. Ahlawat; Dr. Vikash Goel; and Dr. Nishant Anand.
The application for the patent was published on October 23, 2026, under issue no. 43/2026.
Abstract: [059] The present invention discloses a computer-implemented method for artificial intelligence-based resume screening and candidate ranking. The method receives multiple resume documents and a job requirement document, parses unstructured resume data, extracts structured candidate features, separates identity-related fields from job-relevant fields, and generates anonymized candidate representations. A skill-evidence graph is generated for each candidate, wherein skills, qualifications, certifications, projects, experience entries, tools, achievements, and durations are linked to evidence anchors in the corresponding resume. A job requirement graph is generated from mandatory skills, preferred skills, experience thresholds, qualifications, certifications, responsibilities, and role weights. The system compares each skill-evidence graph with the job requirement graph to compute evidence-bound suitability scores using semantic matching, evidence strength, recency, experience duration, confidence values, and missing requirement penalties. Bias-control constraints prevent use of non-job-related identity attributes. The method outputs an explainable ranked candidate list with component scores, evidence links, confidence values, and audit records. Accompanied Drawing [FIGS. 1-2]
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